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T

GenAI Architect

·2 hours ago
Full TimeLeadH1B Sponsor Likely
United States of America$190k - $220k
S

Senior Staff Data Engineer, Databricks (R5492)

·2 hours ago
Full TimeSenior LevelRemoteNo H1B
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C

Senior Revenue Accounting Manager

·2 hours ago
Full TimeSenior LevelRemote
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ADP
A

Director, Business Development

·2 hours ago
Full TimeLead
Mansfield, Massachusetts, United States of America$100k - $200k
ADP
I

Project Manager - Natural Gas Projects

·2 hours ago
Full TimeSenior LevelRemoteH1B Sponsor Likely
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Lever
F

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·2 hours ago
Full TimeMid LevelRemoteH1B Sponsor Likely
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Greenhouse
G

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·2 hours ago
Full TimeDirectorRemoteH1B Sponsor Likely
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Workday
D

Senior Quality Software Engineer

·3 hours ago
Full TimeSenior LevelRemoteH1B Sponsor Likely
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N

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·3 hours ago
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·3 hours ago
Full TimeSenior LevelRemoteH1B Sponsor Likely
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·3 hours ago
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Greenhouse
T

Senior Software Engineer

·3 hours ago
Full TimeSenior LevelRemoteH1B Sponsor Likely
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A

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·3 hours ago
Full TimeMid LevelRemoteH1B Sponsor Likely
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B

Product Marketing Manager, Boomi Embedded

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K

Engineering Project Manager - Water & Industrial EPC Job Details | Kiewit

·3 hours ago
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L

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·3 hours ago
Full TimeLeadRemoteH1B Sponsor Likely
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S

Staff Software Engineer

·3 hours ago
Full TimeLeadRemoteNo H1B
United States of America$162k - $290k
···
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T

GenAI Architect

Tata Consultancy Services
United States of AmericaFull TimeH1B Sponsor LikelyPosted 7/30/2026

Key skills

AIGenAILLMRAGAgenticLeadership

About this role

Tata Consultancy Services is a global leader in IT services and consulting, and they are seeking a GenAI Architect. The role involves defining enterprise Gen AI strategy, leading solutions from proof-of-concept to production, and collaborating with various teams to ensure successful implementation of AI technologies.

Responsibilities:

  • Define enterprise Gen AI strategy, reference architecture, and technology standards
  • Evaluate, select, and benchmark LLM providers and foundation models for specific use cases
  • Architect RAG pipelines, agentic workflows, and multi-agent orchestration systems
  • Establish responsible AI practices: guardrails, content filtering, bias and hallucination mitigation
  • Lead Gen AI solutions from proof-of-concept through production-grade deployment
  • Partner with data science, engineering, and business teams to prioritize and scope use cases
  • Monitor model performance, cost, latency, and drift in production environments
  • Mentor engineering teams on Gen AI best practices and emerging techniques
  • Stay current with the rapidly evolving Gen AI landscape and advise leadership on adoption roadmap
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